ZR
Jul 2, 2020
Deep Learning made me feel that there is a way to build models and classify data so easily and in a skillful way. Amazing course!
DO
May 26, 2020
Not so often i wish a course would be longer and more in depth I really enjoyed using TF I'll look some other courses about it
By Xiaoer H
•Jun 30, 2020
The course concepts are not in-depth enough, and the server for Jupyter notebook running is way too slow...
By Tariq J
•Feb 24, 2022
I expected some more explaination for the concepts. However from tensorflow website, more could be learnt.
By Projit C
•Apr 1, 2020
The coding part was hard to understand. If that part could also be covered in videos as a tutorial.
By Panos K
•Jun 5, 2022
Great introduction to unsupervised learning. However its an easy course with not much to offer
By Sarah H
•Jan 10, 2024
challenging but i wish the quiz questions were more useful in testing our understanding.
By Javier R
•Jul 17, 2020
It would be grate that the examples have been updated to the TF 2.0 version.
By Kaosara B
•Aug 5, 2022
i loved it. I have an undertsanding of different deep learning models
By srivikram m
•Jun 5, 2022
Was a really fun course, but the final assignments were very lengthy.
By Patricio V
•Jun 1, 2020
Good material but almost all the labs are too slow to run properly
By Vishwanathan C
•Apr 21, 2020
Good introduction to Deep Learning Models with Tensorflow
By Tim d Z
•Mar 24, 2020
Very informative, could use some more room for practice.
By Mahesh N
•May 1, 2020
Lab content must be updated with latest TensorFlow.
By Armen M
•Mar 25, 2020
Thank you. thought it's could be more deeper
By mpho c
•Jan 7, 2020
no audio in the last learning unit 5.
By TIANYU S
•May 26, 2020
some questions are a bit confusing
By Bhaskar N S
•Apr 4, 2020
Met expectations
By konutek
•Feb 2, 2020
It is ok
By Nagesh R
•Jun 8, 2020
good
By Roger S P M
•Apr 4, 2020
This is a pretty good course on the different types of neural networks and their cousins. The presentation slides are really well done. The examples are programmed in TensorFlow. But the course does not really teach very much about TensorFlow itself. The opening lecture on TF describes it in terms that suggest this was created for TF 1.x, rather than the new structure in 2.x. But that turns out not to be an issue since they go into little detail on TF itself.
The programming examples are really good. However, most of the time, the CognitiveCourse.ai web site on which they run is usually not working. So you often cannot use the labs in conjunction with the lectures. You have to go back and access the labs sometime when the website is working.
By Michael C
•Sep 10, 2020
While the lab and videos explained the concepts really well, the codes from the labs are outdated. They are using tensorflow version 1, while tensorflow version 2 (current version) is very different. I have to go outside of this course to learn the new codes.
Other than that, every other aspect of the course is good. explanations are clear, videos and diagrams are very detail. Just the right amount of labs etc
By Simon v S
•Oct 2, 2022
The course is good in order to gain an understanding of the different types of Neural Networks, Algoritms etc. are present and what their purposes are. However, the course stems from 2019 and doesn't seem to be updated that much if at all. The mechanisms and coding required have change significantly since them, so the actual exercises are kind of outdated.
By Simon P
•Oct 17, 2020
Lots of code and theory heavy, which is not a bad thing, but there is little thought given over to the actual learning objectives. There is also no real opportunity to practice learning to use TensorFlow. There are likely better tutorials out there, which is a shame because a lot of effort has gone into this course.
By Gherbi H
•Jan 17, 2020
The Course was more about the the types of neural networks and how they work than Tensorflow, except for week 1 where we had a Tensorflow introduction, I could gather a lot from the programming assignments but I think there needs to be more about the Tensorflow library in the lectures.
By Yong S
•Feb 6, 2020
I found the practice notebooks of this course to be lacking due to two reasons: 1) The notebook links are broken, resulting in my not being able to complete them. 2) The notebooks do not have practice sections where we could code ourselves following the examples given.
By Jorge T
•Aug 10, 2023
Nice review when you have previous knowledge. The PyTorch course was more detailed. Nowadays, Pytorch is becoming more popular than TensorFlow and the new Keras API supports it (PyTorch) as well.
I think it is time for IBM to update its syllabus.